Empagliflozin and dapagliflozin decreased atrial monoamine oxidase expression and alleviated oxidative stress in overweight non-diabetic cardiac patients.

The sodium-glucose-cotransporter 2 inhibitors (SGLT2i) are the blockbuster antidiabetic drugs that exert cardiovascular protection via pleiotropic effects. We have previously demonstrated that empagliflozin decreased monoamine oxidase (MAO) expression and oxidative stress in human mammary arteries. The present study performed in overweight, non-diabetic cardiac patients was aimed to assess whether the two widely prescribed SGLT2i decrease atrial MAO expression and alleviate oxidative stress elicited by exposure to angiotensin 2 (ANG2) and high glucose (GLUC). Right atrial appendages isolated during cardiac surgery were incubated ex vivo with either empagliflozin or dapagliflozin (1, 10 µm, 12 h) in the presence or absence of ANG2 (100 nm) and GLUC (400 mg/dL) and used for the evaluation of MAO-A and MAO-B expression and ROS production. Stimulation with ANG2 and GLUC increased atrial expression of both MAOs and oxidative stress; the effects were significantly decreased by the SGLT2i. Atrial oxidative stress positively correlated with the echocardiographic size of heart chambers and negatively with the left ventricular ejection fraction. In overweight patients, MAO contributes to cardiac oxidative stress in basal conditions and those that mimicked the renin-angiotensin system activation and hyperglycemia and can be targeted with empagliflozin and dapagliflozin, as novel off-target class effect of the SGLT2i.

Non-invasive metabolic biomarkers in initial cognitive impairment in patients with diabetes: A systematic review and meta-analysis.

AIM: Diabetic cognitive impairment (DCI), considered one of the most severe and commonly overlooked complications of diabetes, has shown inconsistent findings regarding the metabolic profiles in DCI patients. This systematic review and meta-analysis aimed to identify dysregulated metabolites as potential biomarkers for early DCI, providing valuable insights into the underlying pathophysiological mechanisms. MATERIALS AND METHODS: A systematic search of four databases, namely PubMed, Embase, Web of Science and Cochrane, was conducted up to March 2024. Subsequently, a qualitative review of clinical studies was performed followed by a meta-analysis of metabolite markers. Finally, the sources of heterogeneity were explored through subgroup and sensitivity analyses. RESULTS: A total of 774 unique publications involving 4357 participants and the identification of multiple metabolites were retrieved. Of these, 13 clinical studies reported metabolite differences between the DCI and control groups. Meta-analysis was conducted for six brain metabolites and two metabolite ratios. The results revealed a significant increase in myo-inositol (MI) concentration and decreases in glutamate (Glu), Glx (glutamate and glutamine) and N-acetylaspartate/creatine (NAA/Cr) ratios in DCI, which have been identified as the most sensitive metabolic biomarkers for evaluating DCI progression. Notably, brain metabolic changes associated with cognitive impairment are more pronounced in type 2 diabetes mellitus than in type 1 diabetes mellitus, and the hippocampus emerged as the most sensitive brain region regarding metabolic changes associated with DCI. CONCLUSIONS: Our results suggest that MI, Glu, and Glx concentrations and NAA/Cr ratios within the hippocampus may serve as metabolic biomarkers for patients with early-stage DCI.

Predictors and clinical outcomes of slow flow phenomenon in diabetic patients with chronic coronary syndrome.

BACKGROUND: Coronary slow flow (CSF) is characterized by late distal coronary perfusion of coronary arteries at the time of angiography despite the vessels appearing normal. The importance of CSF is still debatable. Therefore, this study aimed to investigate CSF's predictors and clinical outcomes in diabetic patients with chronic coronary syndrome (CCS). PATIENT AND METHODS: This retrospective study included 250 diabetic patients diagnosed with chronic stable angina and referred for coronary angiography (CAG), showing normal coronaries with CSF (Group I) and 240 diabetic patients with normal coronaries and normal flow (Group II). The patients in both groups were followed up for one year to evaluate clinical outcomes. RESULTS: The incidence of major adverse cardiac events (MACE) was higher in Group I than in Group II, but the difference was not statistically significant except when the composite endpoints of STEMI, NSTEMI, and unstable angina were combined under the term ACS. The independent predictors of CSF, as detected by multivariate regression analysis, were body mass index (BMI) (OR = 0.694, 95% CI = 0.295-0.842, P = 0.010), blood glucose during catheterization (OR = 0.647, 95% CI = 0.298-0.874, P = 0.008), serum triglycerides (OR = 0.574, 95% CI = 0.289-0.746, P = 0.010), and the neutrophil/lymphocyte ratio (NLR) (OR = 0.618, 95% CI = 0.479-0.892, P = 0.001). CONCLUSION: Serum triglyceride levels, BMI, NLR, and high blood glucose levels at the time of catheterization were independent predictors of CSF in diabetic patients. MACE levels were higher in diabetic patients with CSF.

Designing a health literacy model for patients with diabetes.

BACKGROUND: Low health literacy levels among individuals with type 2 diabetes are common and may be a fundamental barrier to increasing self-efficacy and self-care in patients. Therefore, the present study aimed to propose a model for educating health literacy in diabetic patients in hospitals affiliated with the Islamic Azad University of Medical Sciences, Tehran. METHODS: This research was applied in terms of purpose, mixed-methods (qualitative-quantitative) in terms of data type, qualitative content analysis, and cross-sectional survey in the quantitative aspect (fitness of model). The statistical population in the qualitative section included 18 participants from experts in the field of health care. In the quantitative section, 220 educators working in hospitals affiliated with the Islamic Azad University of Medical Sciences, Tehran, were selected using stratified random sampling. Data collection tools included interviews in the qualitative section and research-made questionnaire in the quantitative section. For data analysis, coding was used in the qualitative section, and structural equation modeling was used in the quantitative section. RESULTS: For this model, 6 dimensions, 17 components, and 78 items were identified. The results showed that the basic literacy dimension had a coefficient of 0.729, the specialized literacy dimension had a coefficient of 0.712, diabetes management had a coefficient of 0.654, social literacy dimension had a coefficient of 0.630, cultural literacy dimension had a coefficient of 0.605, and media literacy had a coefficient of 0.535, respectively, contributing the most to the health literacy of diabetic patients. CONCLUSION: Since the "Health Literacy Education" model has a good fitness, it is recommended that this model will be applied in different settings such as hospitals in order to improving the health level of patients.

Stepping Forward: A Scoping Systematic Literature Review on the Health Outcomes of Smart Sensor Technologies for Diabetic Foot Ulcers.

Diabetic foot ulcers (DFUs) pose a significant challenge in diabetes care, demanding advanced approaches for effective prevention and management. Smart insoles using sensor technology have emerged as promising tools to address the challenges associated with DFU and neuropathy. By recognizing the pivotal role of smart insoles in successful prevention and healthcare management, this scoping review aims to present a comprehensive overview of the existing evidence regarding DFU studies related to smart insoles, offloading sensors, and actuator technologies. This systematic review identified and critically evaluated 11 key studies exploring both sensor technologies and offloading devices in the context of DFU care through searches in CINAHL, MEDLINE, and ScienceDirect databases. Predominantly, smart insoles, mobile applications, and wearable technologies were frequently utilized for interventions and patient monitoring in diabetic foot care. Patients emphasized the importance of these technologies in facilitating care management. The pivotal role of offloading devices is underscored by the majority of the studies exhibiting increased efficient monitoring, prevention, prognosis, healing rate, and patient adherence. The findings indicate that, overall, smart insoles and digital technologies are perceived as acceptable, feasible, and beneficial in meeting the specific needs of DFU patients. By acknowledging the promising outcomes, the present scoping review suggests smart technologies can potentially redefine DFU management by emphasizing accessibility, efficacy, and patient centricity.

Advancing elderly diabetes care: exploring the usability and acceptance of continuous glucose monitoring (CGM).

OBJECTIVES: This study aimed to evaluate the acceptability, usability, compliance, and satisfaction of Continuous Glucose Monitoring (CGM) among elderly diabetic patients. DESIGN: Utilizing a mixed-methods approach, the study involved 30 participants, averaging 74.79 years in age. Participants wore two CGM devices, and their experiences, along with survey data, were comprehensively analyzed to gauge the effectiveness of CGM in managing diabetes. RESULTS: The study demonstrated that -CGM- is highly usable and acceptable among elderly diabetic patients. Participants effectively utilized CGM to monitor and predict blood glucose trends, positively influencing their glucose control and lifestyle. The average adherence rate was found to be 81 %, indicating a substantial level of effective self-management and treatment decision-making. CONCLUSION: The study recommends developing CGM educational programs tailored for the elderly, educating healthcare professionals, expanding insurance coverage for CGM, and promoting real-time CGM technology to improve usability and acceptance among the elderly.

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patients' predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm's parameters and data-related modeling choices are also both crucial and challenging. In this paper we propose a novel framework to numerically evaluate strategies for handling missing data in the context of statistical analysis, with a particular focus on multiple imputation techniques. We demonstrate the feasibility of our approach on a large cohort of type-2 diabetes patients provided by the National COVID Cohort Collaborative (N3C) Enclave, where we explored the influence of various patient characteristics on outcomes related to COVID-19. Our analysis included classic multiple imputation techniques as well as simple complete-case Inverse Probability Weighted models. Extensive experiments show that our approach can effectively highlight the most promising and performant missing-data handling strategy for our case study. Moreover, our methodology allowed a better understanding of the behavior of the different models and of how it changed as we modified their parameters. Our method is general and can be applied to different research fields and on datasets containing heterogeneous types.

Development and validation of a risk prediction model for frailty in patients with diabetes.

BACKGROUND: Frailty is the third most common complication of diabetes after macrovascular and microvascular complications. The aim of this study was to develop a validated risk prediction model for frailty in patients with diabetes. METHODS: The research used data from the China Health and Retirement Longitudinal Study (CHARLS), a dataset representative of the Chinese population. Twenty-five indicators, including socio-demographic variables, behavioral factors, health status, and mental health parameters, were analyzed in this study. The study cohort was randomly divided into a training set and a validation set at a ratio of 70 to 30%. LASSO regression analysis was used to screen the variables for the best predictors of the model based on a 10-fold cross-validation. The logistic regression model was applied to explore the associated factors of frailty in patients with diabetes. A nomogram was constructed to develop the prediction model. Calibration curves were applied to evaluate the accuracy of the nomogram model. The area under the receiver operating characteristic curve and decision curve analysis were conducted to assess predictive performance. RESULTS: One thousand four hundred thirty-six patients with diabetes from the CHARLS database collected in 2013 (n = 793) and 2015 (n = 643) were included in the final analysis. A total of 145 (10.9%) had frailty symptoms. Multivariate logistic regression analysis showed that marital status, activities of daily living, waist circumference, cognitive function, grip strength, social activity, and depression as predictors of frailty in people with diabetes. These factors were used to construct the nomogram model, which showed good concordance and accuracy. The AUC values of the predictive model and the internal validation set were 0.912 (95%CI 0.887-0.937) and 0.881 (95% CI 0.829-0.934). Hosmer-Lemeshow test values were P = 0.824 and P = 0.608 (both > 0.05). Calibration curves showed significant agreement between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had a good predictive performance. CONCLUSIONS: Comprehensive nomogram constructed in this study was a promising and convenient tool to evaluate the risk of frailty in patients with diabetes, and contributed clinicians to screening the high-risk population.

Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Diabetes has become a prominent global public health problem, which is an important cause of death, disease burden, and medical and health economic burden. Previous studies have reported that majority of persons diagnosed with diabetes later presented with psychological and mental health diseases. The study aimed to explore the mediation role of anxiety on social support and depression among diabetic patents in elderly caring social organizations (SOs). METHODS: A multi-stage stratified cluster random sampling method was used in this cross-sectional study, and a questionnaire consisting of demographic questionnaire, MSPSS, GAD-7, and CES-D-10 was utilized to gather data. SPSS 22.0 and MPLUS 7.4 were used for statistical analysis. Spearman correlation analysis was employed to investigate correlations of key variables. A generalized linear model was used to exam factors associated with depression. Finally, the mediation effect among study variables was investigated by structural equation modeling (SEM). RESULTS: The average scores of social support, anxiety, and depression were 58.41 ± 14.67, 2.95 ± 3.95, and 7.24 ± 5.53, respectively. The factors of gender, social support, and anxiety were identified as significantly influential factors related to depression among diabetic patients in elderly caring SOs. The effect of social support on depression was significantly mediated by anxiety (ß = -0.467, 95%CI: -0.813 to -0.251). Furthermore, anxiety partially mediated the relationship between family support and depression (ß = -0.112, 95%CI: -0.229 to -0.012), and anxiety functioned as a complete mediator in the effect of significant others' support and depression (ß = -0.135, 95%CI: -0.282 to -0.024). CONCLUSIONS: The indirect effect of social support on depression through anxiety among diabetic patients in elderly caring SOs was elucidated. Social support played a key role in maintaining and regulating their mental health, particularly from family and significant others. Social support provided by both family and significant others exerted an important influence on maintaining and regulating their mental health. In light of this pathway, the elderly caring SOs should enhance the magnitude of social support from these two sources, thereby diminishing the likelihood of experiencing anxiety and depression.

Update on the Use of Infrared Thermography in the Early Detection of Diabetic Foot Complications: A Bibliographic Review.

Foot lesions are among the most frequent causes of morbidity and disability in the diabetic population. Thus, the exploration of preventive control measures is vital for detecting early signs and symptoms of this disease. Infrared thermography is one of the complementary diagnostic tools available that has proven to be effective in the control of diabetic foot. The last review on this topic was published in 2015 and so, we conducted a bibliographic review of the main databases (PubMed, the Web of Science, Cochrane library, and Scopus) during the third quarter of 2023. We aimed to identify the effectiveness of infrared thermography as a diagnostic element in pre-ulcerous states in diabetic patients and to detect diabetic foot ulcer complications. We obtained a total of 1199 articles, 26 of which were finally included in the present review and published after 2013. After analyzing the use of infrared thermography in diabetic patients both with and without ulcers, as well as in healthy individuals, we concluded that is an effective tool for detecting early-stage ulcers in diabetic foot patients.

Non-Enhancing Tissue on Diabetic Foot Magnetic Resonance Imaging in Relation to Osteomyelitis Investigation: Magnetic Resonance Imaging Performance, Pitfalls and Clinical Considerations.

Background: Geographic non-enhancing zones in diabetic foot magnetic resonance imaging (MRI) were first described in 2002. No previous report has described the impact and clinical significance of geographic non-enhancing tissue seen in the evaluation of diabetic foot MRI. Purpose: To evaluate the prevalence of devascularization areas on contrast-enhanced MRI in diabetic patients suspected of having foot osteomyelitis, the impact on the performance of the MRI assessment, and the possible pitfalls. Methods: A retrospective study was conducted between January 2016 and December 2017 during which 72 CE-MRIs of 1.5 and 3T were reviewed by 2 musculoskeletal radiologists for the presence of non-enhancing tissue areas and for osteomyelitis. A blinded third party collected clinical data including pathology reports, revascularization procedures, and surgical interventions. The prevalence of devascularization was calculated. Results: Among the 72 CE-MRIs (54 men, 18 women; mean age 64), 28 demonstrated non-enhancing areas (39%). All but 6 patients were found to have been correctly diagnosed on imaging (3 false positives, 2 false negatives, and 1 non-diagnostic). A greater discordance was also observed between the radiological and pathological diagnoses in the MRIs which showed non-enhancing tissue. Conclusion: Non-enhancing tissue is found in a non-negligible portion of diabetic foot MRIs and affects its diagnostic performance when looking for osteomyelitis. The recognition of these areas of devascularization may be helpful for the physician in planning the best treatment option for the patient.

Prevalence and determinants of lower extremity amputations among type I and type II diabetic patients: A multicenter-based study.

The incidence of diabetes-related lower-extremity complications is increasing globally, yet the condition in developing countries, particularly those in sub-Saharan Africa, is unclear. This study determined the prevalence and determinants of lower extremity amputations among type I and type II diabetic patients at health facilities in the Volta Region, Ghana. This was a multicenter-based study involving 473 diabetic patients. Sociodemographic, lifestyle, medical, biochemical, and anthropometric data were obtained systematically with a pretested structured questionnaire. The prevalence rate of lower extremity amputations (LEAs) was 1.9%. LEAs were linked to the male gender (unadjusted odds ratio [UOR] = 5.86; 95% confidence interval [CI] = 1.44-23.82; P = 0.013), smokers (UOR = 10.12; 95% CI = 2.63-38.91; P = .001), type I diabetic patients (UOR = 4.74; 95% CI = 1.24-18.10; P = .023), family history of diabetes mellitus (UOR = 9.18; 95% CI = 2.25-37.46; P = .002), diabetic foot ulcers (adjusted odds ratio [AOR] = 8.62; 95% CI = 1.58-47.62; P = .013) and obesity (AOR = 6.20; 95% CI = 1.00-38.04; P = .049). This study showed a relatively low prevalence rate compared to previous studies within Ghana. However, it is a major concern in public health that needs to be addressed since diabetes-related LEAs are connected to global major morbidity and mortality.

Association of cholesterol with hepatorenal markers and quality of life in diabetic patients before and after magnesium and potassium supplements.

Background: Magnesium and potassium are two critical minerals that have been linked to the treatment of diabetes and its consequences. A lack of magnesium has been linked to insulin resistance and diabetes, whereas potassium has been found to promote insulin sensitivity and glucose metabolism. The study aimed to determine the relationship between cholesterol, liver and kidney markers, and quality of life in diabetic patients before and after magnesium and potassium supplementation. Methods: It was a single-blind randomized controlled study at Lahore Garrison University and Lahore Medical Research Centre (LMRC). The study included 200 diabetes participants. Four groups were made based on supplements. Blood samples of all diabetes patients were obtained to assess their quality of life before and after using Mg + and K + supplements, as well as the association between cholesterol, liver, and kidney markers. Results: The participants' average age was 51.0 ± 11.08. 139 (69.5 %) of the 200 participants were female, whereas 26 (30.5 %) were male. There was no correlation between the quality of life measure and the patients' cholesterol levels before and after the magnesium and potassium supplementation. Furthermore, the kidney and liver indicators were not dependent on the diabetes individuals' cholesterol levels. Conclusions: The study concluded that none of the four groups noticed a significant effect of magnesium and potassium therapies on the patient's quality of life or cholesterol levels. However, more research is needed to determine if liver and kidney problems are linked to cholesterol levels before and after medication, as the current study found no significant correlation between the two parameters.

Adipocyte precursor cells from first degree relatives of type 2 diabetic patients feature changes in hsa-mir-23a-5p, -193a-5p, and -193b-5p and insulin-like growth factor 2 expression.

First-degree relatives (FDRs) of type 2 diabetics (T2D) feature dysfunction of subcutaneous adipose tissue (SAT) long before T2D onset. miRNAs have a role in adipocyte precursor cells (APC) differentiation and in adipocyte identity. Thus, impaired miRNA expression may contribute to SAT dysfunction in FDRs. In the present work, we have explored changes in miRNA expression associated with T2D family history which may affect gene expression in SAT APCs from FDRs. Small RNA-seq was performed in APCs from healthy FDRs and matched controls and omics data were validated by qPCR. Integrative analyses of APC miRNome and transcriptome from FDRs revealed down-regulated hsa-miR-23a-5p, -193a-5p and -193b-5p accompanied by up-regulated Insulin-like Growth Factor 2 (IGF2) gene which proved to be their direct target. The expression changes in these marks were associated with SAT adipocyte hypertrophy in FDRs. APCs from FDRs further demonstrated reduced capability to differentiate into adipocytes. Treatment with IGF2 protein decreased APC adipogenesis, while over-expression of hsa-miR-23a-5p, -193a-5p and -193b-5p enhanced adipogenesis by IGF2 targeting. Indeed, IGF2 increased the Wnt Family Member 10B gene expression in APCs. Down-regulation of the three miRNAs and IGF2 up-regulation was also observed in Peripheral Blood Leukocytes (PBLs) from FDRs. In conclusion, APCs from FDRs feature a specific miRNA/gene profile, which associates with SAT adipocyte hypertrophy and appears to contribute to impaired adipogenesis. PBL detection of this profile may help in identifying adipocyte hypertrophy in individuals at high risk of T2D.

Preventive foot self-care practice and associated factors among diabetic patients attending the university of Gondar comprehensive specialized referral hospital, Northwest Ethiopia, 2021.

BACKGROUND: Diabetes mellitus is emerging as a major worldwide health problem that has a social, financial, and developmental impact on developing countries. Foot complications are among the most serious and costly complications of diabetes which lead to lower extremity amputation due to diabetic foot ulcers. Poor diabetic foot self-care practice is identified by different studies as a major contributing factor to diabetic foot ulcers. Therefore, this study was intended to assess foot self-care practice and associated factors among diabetic patients attending the University of Gondar comprehensive specialized referral hospital. METHODS: A hospital-based cross-sectional study was conducted from July 1 to August 30, 2021, at the University of Gondar comprehensive specialized referral hospital. A systematic random sampling technique was employed to select 384 diabetic patients. A structured pretested interviewer-administered questionnaire was used to collect data. The data was entered in epi-info version 7, analyzed using SPSS version 21, and presented using frequencies, percentages, tables, and graphs. Bivariable and multivariable analyses were investigated using a binary logistic regression model. P-value < 0.05 and an odds ratio with a 95% confidence interval were used to determine the significance and strength of the association. RESULTS: Of the 384 diabetic patients, 46.4% (95% CI (41.1%-51.6%)) of them had poor foot self-care practice. Being male [AOR = 0.54, 95% CI (0.32, 0.89)], couldn't read and write and completed primary education [AOR = 2.35, 95% CI (1.01, 5.43)] & [AOR = 2.92, 95% CI (1.39, 6.12)], living in rural area [AOR = 3.84, 95% CI (1.91, 7.75)], having diabetic complications [AOR = 2.19, 95% CI (1.07, 4.46)], taking both injection and pills [AOR = 0.33, 95% CI (0.12, 0.88)], having previous information about foot care [AOR = 0.12, 95% CI (0.06, 0.24)], and family support [AOR = 0.57, 95% CI (0.34, 0.94)] were determinants of poor foot self-care practice. CONCLUSION: The adherence of diabetic patients toward foot self-care practice was poor. Being male, having low educational status, living in a rural area, having diabetic-related complications, taking both injections and pills, not having previous information about foot care, and having poor family support increases the odds of having poor foot self-care practice. Giving health education to patients and their caregivers about the basic principles of diabetes foot care, like regular inspection of feet and appropriate footwear at their regular follow-up time, should be emphasized.

Comprehensive Geriatric Assessment in Older Patients with Diabetes Mellitus in Hanoi, Vietnam.

INTRODUCTION: Comprehensive geriatric assessment (CGA) of older diabetic patients is thought to be of value, but there have been limited studies on the prevalence of impairments in the components of a CGA as well as the relationship between CGA and diabetic control in this group. OBJECTIVE: This study aimed to evaluate the prevalence of components of CGA in older patients with diabetes in National Geriatric Hospital, Hanoi, Vietnam, and determine the association among domains of CGA with measures of diabetic control. METHODS: A cross-sectional study of diabetic outpatients aged ≥60 years at National Geriatric Hospital in Hanoi, Vietnam, recruited over 3 months. The CGA questionnaire includes different assessments consisting of cognitive impairment (using Mini-Cog test), depression (using the 15-item Geriatric Depression Scale), urinary incontinence (using the 3-Incontinence questions), Activities of Daily Living (ADL) dependence, Instrumental Activities of Daily Living (IADL) dependence, high fall risk (using Hendrich II Fall Risk Model), hearing loss (using Whisper test), low visual acuity (using Snellen test), polypharmacy, malnutrition (using the Mini-Nutritional Assessment Short Form), and multiple geriatric conditions (patients had 2 or more geriatric conditions). Multiple logistic regression was used to analyze the association between demographic factors and CGA components with measures of diabetes control. RESULTS: A total of 412 patients were recruited (56.6% female, mean age 71.9 [7.6] years). Prevalence of impairment in components of the CGA was high and highest for vision impairment (94.2%) and multiple geriatric conditions (89.3%). Age <75 years, cognitive impairment, depressive symptom, IADL impairment, and high fall risk were significantly associated with both poor fasting plasma glucose control (>130 mg/dL) and poor HbA1c control (≥7%). CONCLUSIONS: This study highlights that geriatric syndromes are common in older diabetic patients and associated with poorer diabetic control. It suggests CGA may be important to conduct in this group by establishing an interdisciplinary Geriatric health care team.

Endovascular treatment of calcific lesions of the common femoral artery using atherectomy device associated with scoring balloon angioplasty in diabetic patients with high "major amputation" risk.

OBJECTIVES: To investigate the outcomes of patients with calcific lesions in the common femoral artery undergoing endovascular procedures with atherectomy device and scoring balloon angioplasty combined with treatment of steno-occlusive disease of the remaining arterial districts of the lower limb. METHODS: Between January 2015 and December 2018, 11 diabetic patients at high risk for "major amputation", with calcific lesions of the common femoral artery and ischemic ulcers requiring endovascular treatment were retrospectively evaluated. Technical success was defined as revascularization of the common femoral artery with a residual stenosis lower than 30%. Primary endpoints were an immediate increase of perilesional transcutaneous oxygen pressure (TCPO2) > 40 mmHg, ulcerative lesions improvement up to healing or skin flaps re-epithelialization after minor amputation, limb rescue with rejected major amputation, and resolution of rest pain if present. RESULTS: The success rate of the revascularization procedures was 100%. No patient underwent surgical conversion. One case of peri-operative bleeding at the brachial access site was observed. There were no cases of arterial dissection or undesired distal embolization. The average baseline value of perilesional TCPO2 was 21.8 ± 9.2 mmHg. The mean TCPO2 value was 57.4 ± 7.2 mmHg three days after the procedure (P < 0.05), and 51.2 ± 9.8 mmHg 15 days after (P < 0.05). Minor amputations were performed in five patients with advanced ulcerative lesions. No major amputations were performed in the follow-up period. At 14 months follow-up, one patient developed new occlusion of the CFA for extension from the external iliac artery and underwent a new endovascular procedure. We observed an overall primary patency rate of 91% and a primary assisted patency rate of 100% in our 18-month follow-up. CONCLUSIONS: Endovascular approach for severely calcified atherosclerotic lesions of the common femoral artery seems to represent a valid therapeutic option associated with promising results in terms of clinical outcome and low complication rates.

The effect of Brassica vegetables on blood glucose levels and lipid profiles in adults. A systematic review and meta-analysis.

Previous studies on the effect of Brassica vegetables on blood glucose and lipid profile have reported inconclusive findings. Due to the high prevalence of glucose and lipid metabolism disorders and their importance as predictors of chronic diseases, the present meta-analysis was performed to clarify the effect of Brassica vegetables on blood glucose and lipid profile. A systematic search of the databases of PubMed, Scopus, and Cochran Library was performed up to October 2020. All randomized controlled trials (RCTs) that examined the effect of Brassica vegetables on blood glucose and lipid profile were included in the study. The search results were limited to English-language publications. Finally, nine RCTs, including 548 participants, were selected for the present study. Pooled analysis indicated a significant reduction in total cholesterol (TC) (SMD = -0.28, 95%CI: 0.48 to 0.08; p = 0.005) following Brassica vegetables consumption. Overall, Brassica vegetables had no significant impact on serum levels of triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, fasting blood sugar, and glycated hemoglobin. Consumption of Brassica vegetables had a statistically significant effect on TC concentration. However, further high-quality studies are needed to firmly establish the clinical efficacy of these plants.

Diet quality indices are associated with sleep and mental health status among diabetic women: a cross-sectional study.

OBJECTIVE: Diabetes is a common chronic disease with many complications. Controlling these complexities may enhance the quality of life. This study was conducted to investigate the association between diet quality indices and sleep, stress, anxiety, and depression among diabetic women. DESIGN: Cross-sectional study. SETTING: A validated and reliable food frequency questionnaire was filled to assess the dietary intake and adherence to the diet quality indices. Pittsburgh Sleep Quality Index and 21 items Depression, Anxiety, and Stress Scale were used to assess the sleep and mental disorders, respectively. PARTICIPANTS: This study was conducted on 230 Tehrani women with type 2 diabetes. RESULTS: Patients who were in the top tertile of diet quality index consumed less fat, saturated mono-and poly-unsaturated fatty acids, and sodium (P < 0.05). Participants who were in top tertile of diet quality indices consumed more fruits, and vegetables. Patients in the highest tertile of diet quality index-international had less risk of depression (OR: 0.17; 95% CI: 0.07; 0.41), anxiety (OR: 0.36; 95% CI: 0.16; 0.80), stress (OR: 0.09; 95% CI: 0.04; 0.21), and poor sleep (OR: 0.12; 95% CI: 0.04; 0.36). Patients in the highest tertile of healthy eating index-international had less risk of depression (OR: 0.06; 95% CI: 0.02; 0.21), anxiety (OR: 0.10; 95% CI: 0.04; 0.26), stress (OR: 0.11; 95% CI: 0.05; 0.26), and poor sleep (OR: 0.08; 95% CI: 0.03; 0.20). CONCLUSION: Patients with higher adherence to diet quality indices were likely less to have mental disorders or poor sleep. LEVEL OF EVIDENCE: Level V: based on descriptive studies (a Cross-sectional study).

Therapeutic interventions of remdesivir in diabetic and nondiabetic COVID-19 patients: A prospective observational study conducted on Pakistani population.

We aimed to investigate the interventions of remdesivir in both diabetic and nondiabetic individuals who were suffering from a severe infection of novel coronavirus disease (COVID-19). In this study, we aimed to explore the relationship between therapeutic effectiveness of remdesivir and complications of diabetes mellitus by observing the recovery period among diabetic and nondiabetic patients associated with COVID-19 infection. A total of 850 COVID-19 patients were recruited for this study, out of which 48% were diabetic and 52% were nondiabetics. The results of this study indicated that nondiabetic individuals administered with remdesivir recovered from COVID-19 within 10 days showing a 95% confidence interval (p < 0.01), while the diabetic individuals recovered in 15 days. Nondiabetic patients administered with remdesivir exhibited higher chances of clinical improvement at 15th day than those who were associated with diabetes. Remdesivir administration improved the levels of various biochemical parameters, such as C-reactive protein, lactate dehydrogenase, d-Dimer, and ferritin both in diabetic and nondiabetic patients. However, a significant improvement (p < 0.01) was seen in the level of biochemical parameters among nondiabetic patients as compared to that of diabetic patients administered with remdesivir treatment. In the end, it was concluded that remdesivir could be considered as a possible therapeutic agent in the treatment of COVID-19 both in diabetic and nondiabetic situations. However, diabetic patients showed a delayed recovery as compared with that of nondiabetic patients, in which the recovery rate was high.